Moral rhetoric and framing play a role in increasing polarization and divisions in our societies [1]}, [2]}, [3]}, but also in a wide range of pro-social behaviors that can potentially bring people together [4]}, [5]}, [6]}, [7]}. In order to understand the relationship between hate, division, compassion, and unity in the digital age, we need to understand the dynamics of moral language online. In particular, capturing and investigating the moral sentiment of text can allow for the study of how individuals' and groups' expressed moral sentiment relate to various downstream online and offline behaviors.
